Evidence map›Paper›PMID 34370017›Full record

ArticleThe journals of gerontology. Series B, Psychological sciences and social sciences2021

Stress Among Older Adults With an Incarcerated Family Member: Testing the Buffering Model of Social Support.

Chantal Fahmy, Alexander Testa

Open access · greenAbstract read
In one paragraph

Article in The journals of gerontology. Series B, Psychological sciences and social sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Chantal FahmyDepartment of Criminology and Criminal Justice, The University of Texas at San Antonio, Texas, USA.ORCID 0000-0002-6010-8457
Alexander TestaDepartment of Criminology and Criminal Justice, The University of Texas at San Antonio, Texas, USA.ORCID 0000-0002-8686-9115
The University of Texas at San Antonio · US

Funding

Advancing Health Disparities Research in Aging: The Aging Research in Criminal Justice & Health (ARCH) NetworkR24AG065175 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LISA C BARRY, BRIE A WILLIAMS · 2019 to 2026
$3.3M
NIA NIH HHS R24 AG065175NIH HHS R24AG065175
6 · The paper itself

Abstract

objectivesThis study investigates whether levels of social support moderate the association between age and stress among a sample of individuals who have a family member incarcerated.

methodsSurvey responses from individuals who are members of a nonprofit organization for individuals with a family member incarcerated in Texas were used (n = 376). Ordinary least squares regression analysis was conducted to assess the interaction between age and levels of social support on stress.

resultsFindings demonstrated a negative interaction between social support and age (b = -0.040, p = .027), indicating that higher levels of social support buffer against stress for older adults. DISCUSSION: The theoretical mechanisms linking social support to reductions in stress among older individuals experiencing highly stressful life events (i.e., familial incarceration), as well as the policy and practical implications for enhancing social support among older individuals with a family member incarcerated, are discussed.

Indexed as

FamilyPrisonersAgedAgingFemaleHumansInterpersonal RelationsMaleSocial SupportStress, PsychologicalSurveys and QuestionnairesTexasBuffering modelFamilial incarcerationOlder adultsSocial supportStress

Identifiers

PMID34370017
PMCPMC8599000
OpenAlexW3187532095

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.